Are you an Azure Machine Learning Engineer seeking a new interesting challenge?

If your answer is yes, it’s your lucky day so keep reading — it can be just what you're looking for!

WHAT WILL YOU DO? ✍️

We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks:

- Expand the scope of Advanced Analytics and AI, enabling use cases that leverage emerging technologies and fostering an innovative environment.
- Work closely with the Data Scientists of the Advanced Analytics & AI Center of Expertise to design and develop Machine Learning and Generative AI models, collaborating with data engineers and data analysts.
- Deploy and optimize AI models that leverage large‑scale data to deliver predictive and analytical capabilities for the AST&I; domains.
- Build and maintain end‑to‑end ML pipelines, ensuring model reproducibility, scalability and monitoring aligned with MLOps best practices.
- Engage in complex long‑term projects, focusing on continuous delivery in small increments and contributing to project planning and execution.




- Engage and guide non‑technical stakeholders on Advanced Analytics and Generative AI use cases.
- Collaborate with multidisciplinary teams and manage multiple stakeholders.
- Be part of a diverse Agile / Scrum DevOps team with end‑to‑end responsibility for developing, managing and maintaining functionalities in the AST&I; area, prioritized by the Product Owner.
- Stay curious and up to date with trends in advanced analytics, generative AI and cloud platforms such as Databricks.

WHAT TECHNOLOGIES WILL YOU USE?

- Python (OOP preferred), PySpark
- Machine Learning frameworks: Scikit‑learn, TensorFlow, PyTorch
- Databricks platform tools
- Azure Machine Learning
- MLflow and ML pipeline orchestration tools
- Git and CI/CD pipelines for ML models (Azure DevOps / Azure Pipelines)
- MLOps practices (feature engineering, training, evaluation and deployment)
- Agile / Scrum methodologies

WHAT ARE WE LOOKING FOR?

#J-18808-Ljbffr

📌 Azure Machine Learning Engineer (Madrid)
🏢 Talent
📍 Madrid